A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% classification accuracy. Feature screening using mean impact value (MIV) enhances ...
UNAGI, a deep generative neural network, tracks IPF progression and identifies potential therapies by analyzing cell types and disease-related genes. The model autonomously learns and refines itself, ...
Researchers from Hanmi Science Co. Ltd. presented preclinical data for the novel long-acting glucagon/GIP/GLP-1 triple agonist HM-15211, being evaluated as potential treatment of idiopathic pulmonary ...
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